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Papers
61,005 resultsShowing papers similar to Structure Refinement and Bauschinger Effect in fcc and hcp Metals
ClearOn Structural Sensitivity Of Young’s Modulus Of Ni-Rich Ti-Ni Alloy
This study explored how varying the initial microstructure and aging-induced precipitation in a Ni-rich Ti-50.8 at% Ni alloy modulates its Young's modulus over a wide range, providing guidance for tailoring implant materials to match the mechanical properties of bone.
On Structural Sensitivity of Young’s Modulus of Ni-Rich Ti-Ni Alloy
This study examined how grain size and heat treatment affect Young's modulus in nickel-rich titanium-nickel alloy for bone implant applications. This is a materials science paper focused on biomedical alloys with no direct relevance to microplastics or environmental health.
Simulation of recoverable strain variation during isothermal holding of the Ni51Ti49 alloy under various regimes
Researchers modeled the strain behavior of a nickel-titanium shape memory alloy during isothermal holding at various stress levels. The study used a microstructural model and optimization algorithm to fit strain variation curves. Shape memory alloys are relevant to materials science research but not directly connected to microplastic pollution.
Effect of Nb on the Damping Property and Pseudoelasticity of a Porous Ni-Ti Shape Memory Alloy
Researchers investigated the effects of adding varying amounts of niobium to porous Ni-Ti shape memory alloy on its damping properties and pseudoelasticity, finding that Nb addition reduced precipitates and was distributed as beta-Nb blocks in the matrix. Results showed that damping and pseudoelastic performance first increased then decreased with rising Nb content, pointing to an optimal composition for applications in aerospace and medical fields.
Loading Frequency Classification in Shape Memory Alloys: A Machine Learning Approach
Researchers applied machine learning methods to predict the loading frequency of nickel-titanium shape memory alloys based on experimental data from cyclic tensile tests. They tested multiple algorithms across different loading frequencies and found that machine learning could effectively classify the frequency conditions. The study demonstrates the potential of data-driven approaches for characterizing the behavior of these materials used in engineering applications.
Effects of Pore Morphology and Bone Ingrowth on Mechanical Properties of Microporous Titanium as an Orthopaedic Implant Material
This biomedical engineering study examined how pore size, shape, and bone ingrowth affect the mechanical properties of porous titanium used in orthopedic implants, using both experimental testing and computer simulations. This is a biomedical engineering study with no direct relevance to environmental microplastics.
Hot Deformation Behavior and Processing Maps of a New Ti-6Al-2Nb-2Zr-0.4B Titanium Alloy
This materials science study characterized the high-temperature deformation behavior of a new titanium alloy used in aerospace and industrial applications. It has no direct relevance to microplastic or environmental health research.